Assembling Data Sets for Non-Linear Mixed Effects Modeling

To Simplify the time consuming and error prone task of assembling complex data sets for non-linear mixed effects modeling. Users are able to select from different absorption processes such as zero and first order, or a combination of both. Furthermore, data sets containing data from several entities, responses, and covariates can be simultaneously assembled.


Reference manual

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0.0.1 by Mario Gonzalez Sales, a year ago

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Authors: Olivier Barriere [aut] , Mario Gonzalez Sales [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports utils, lubridate, stats, readxl, reshape, reshape2, sqldf, kableExtra, plyr, dplyr, tidyverse, readr

Suggests rmarkdown, knitr, devtools, testthat

See at CRAN